1,720,966 research outputs found
Gender-Oriented Mental Health Prevention: A Reappraisal
Many studies have investigated the impact of gender on mental health, but only a few have addressed gender differences in mental health risk and prevention. We conducted a narrative review to assess the current state of knowledge on gender-specific mental health preventive interventions, along with an analysis of gender-based risk factors and available screening strategies. Out of 1598 articles screened using a comprehensive electronic search of the PubMed, Web-of-Science, Scopus, and Cochrane databases, 53 were included for review. Among risk factors for mental health problems, there are individual, familiar, social, and healthcare factors. Individual factors include childhood adversities, which show gender differences in distribution rates. However, current childhood abuse prevention programs are not gender-specific. Familiar factors for mental health problems include maternity issues and intimate partner violence, and for both, some gender-specific preventive interventions are available. Social risk factors for mental health problems are related to education, employment, discrimination, and relationships. They all display gender differences, but these differences are rarely taken into account in mental health prevention programs. Lastly, despite gender differences in mental health service use being widely known, mental health services appear to be slow in developing strategies that guarantee equal access to care for all individuals
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Prenatal insomnia disorder may predict concurrent and postpartum psychopathology: A longitudinal study
While insomnia symptoms may be a risk factor for mental disturbances, few studies evaluated “Insomnia Disorder” and its relationship with perinatal psychopathology. Pregnant women were recruited during their last routine assessment before being hospitalized for delivery during the 3rd trimester at the Gynaecological Unit of the University Hospital of Ferrara and Udine, Italy, from January 2022 to January 2023. Our assessment included baseline evaluation (T0), and evaluations at 1 month (T1) and 3 months (T2) in the postpartum period, with specific questionnaires for insomnia disorder, such as Sleep Condition Indicator, mood and anxiety symptoms and psychosocial functioning, such as Edinburgh Postnatal Depression Scale, Mood Disorder Questionnaire, State–Trait Anxiety Inventory, Work and Social Adjustment Scale. At T0, 181 pregnant women were included. Insomnia disorder affected 22.3% at T0, 23.5% at T1 and 16.2% at T2. Women with insomnia disorder at baseline were significantly more affected by concurrent anxiety and depressive symptoms, had higher bipolar diathesis and poorer psychosocial functioning in the perinatal period. Prenatal insomnia disorder predicted anxiety (T0: odds ratio 4.44, p << 0.001; T1: odds ratio 4.009, p = 0.042) and depressive symptoms (T0: odds ratio 2.66, p = 0.015; T1: odds ratio 11.20, p = 0.001; T2: odds ratio 12.50 p = 0.049) in both the prenatal and postnatal period. It also predicted poor psychosocial function during the prenatal (odds ratio 3.55, p = 0.003) and postpartum periods (T1: odds ratio 2.33, p = 0.004). Insomnia disorder is emerging as an important prenatal factor that may contribute to concurrent and postpartum psychopathology
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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